Artificial intelligence (AI) is rapidly transforming industries, but with this innovation come new security challenges as threat actors explore AI’s powerful capabilities. They’re adopting new techniques, targeting AI models, injecting malicious code into AI processes, and exploiting vulnerabilities in AI-related software packages.
Malicious AI-related software packages are being embedded in container images, sometimes without security teams realizing it. By embedding malicious AI components, adversaries can manipulate model behavior, exfiltrate sensitive data processed by AI models, or create backdoors that allow persistent access to cloud environments. These attacks can lead to data poisoning, intellectual property theft, or unauthorized control over AI-powered applications.
In this blog, we share how CrowdStrike Falcon® Cloud Security secures cloud workloads that leverage AI-related packages, with an in-depth look at a new container image assessment feature that detects how AI technologies are used and if images have AI-related vulnerabilities.
Fight the Hidden Risks of Malicious AI
Security teams struggle to answer critical questions related to AI: Do my base images leverage AI? Which running containers use AI-powered packages? Are AI-related software components exposing vulnerabilities? Until now, answering these questions required extensive manual effort.
The latest feature in Falcon Cloud Security’s image scanning process provides insight into how cloud workloads may leverage AI technologies. When images are scanned through registry connection, CI/CD pipeline integration, Image Assessment at Runtime, or with our Self-hosted Registry Assessment (SHRA) tool, a new step detects AI-related packages and vulnerabilities.